Recurrent neural networks applied to respiratory auscultation sounds outperform prior methods on the ICBHI dataset for anomaly detection and pathology classification.
A respiratory sound database for the development of auto- mated classification,
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Deep auscultation: Predicting respiratory anomalies and diseases via recurrent neural networks
Recurrent neural networks applied to respiratory auscultation sounds outperform prior methods on the ICBHI dataset for anomaly detection and pathology classification.